Academic literature on the topic 'Pedotransfer function'
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Journal articles on the topic "Pedotransfer function"
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Pollacco, J. A. P. "A generally applicable pedotransfer function that estimates field capacity and permanent wilting point from soil texture and bulk density." Canadian Journal of Soil Science 88, no. 5 (November 1, 2008): 761–74. http://dx.doi.org/10.4141/cjss07120.
Full textAbstract:
Hydrological models require the determination of fitting parameters that are tedious and time consuming to acquire. A rapid alternative method of estimating the fitting parameters is to use pedotransfer functions. This paper proposes a reliable method to estimate soil moisture at -33 and -1500 kPa from soil texture and bulk density. This method reduces the saturated moisture content by multiplying it with two non-linear functions depending on sand and clay contents. The novel pedotransfer function has no restrictions on the range of the texture predictors and gives reasonable predictions for soils with bulk density that varies from 0.25 to 2.16 g cm-3. These pedotransfer functions require only five parameters for each pressure head. It is generally accepted that the introduction of organic matter as a predictor improves the outcomes; however it was found by using a porosity based pedotransfer model, using organic matter as a predictor only modestly improves the accuracy. The model was developed employing 18 559 samples from the IGBP-DIS soil data set for pedotransfer function development (Data and Information System of the International Geosphere Biosphere Programme) database that embodies all major soils across the United States of America. The function is reliable and performs well for a wide range of soils occurring in very dry to very wet climates. Climatical grouping of the IGBP-DIS soils was proposed (aquic, tropical, cryic, aridic), but the results show that only tropical soils require specific grouping. Among many other different non-climatical soil groups tested, only humic and vitric soils were found to require specific grouping. The reliability of the pedotransfer function was further demonstrated with an independent database from Northern Italy having heterogeneous soils, and was found to be comparable or better than the accuracy of other pedotransfer functions found in the literature. Key words: Pedotransfer functions, soil moisture, soil texture, bulk density, organic matter, grouping
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Cagliari, Joice, Maurício Roberto Veronez, and Marcelo Eduardo Alves. "Remaining phosphorus estimated by pedotransfer function." Revista Brasileira de Ciência do Solo 35, no. 1 (February 2011): 203–12. http://dx.doi.org/10.1590/s0100-06832011000100019.
Full textAbstract:
Although the determination of remaining phosphorus (Prem) is simple, accurate values could also be estimated with a pedotransfer function (PTF) aiming at the additional use of soil analysis data and/or Prem replacement by an even simpler determination. The purpose of this paper was to develop a pedotransfer function to estimate Prem values of soils of the State of São Paulo based on properties with easier or routine laboratory determination. A pedotransfer function was developed by artificial neural networks (ANN) from a database of Prem values, pH values measured in 1 mol L-1 NaF solution (pH NaF) and soil chemical and physical properties of samples collected during soil classification activities carried out in the State of São Paulo by the Agronomic Institute of Campinas (IAC). Furthermore, a pedotransfer function was developed by regressing Prem values against the same predictor variables of the ANN-based PTF. Results showed that Prem values can be calculated more accurately with the ANN-based pedotransfer function with the input variables pH NaF values along with the sum of exchangeable bases (SB) and the exchangeable aluminum (Al3+) soil content. In addition, the accuracy of the Prem estimates by ANN-based PTF were more sensitive to increases in the experimental database size. Although the database used in this study was not comprehensive enough for the establishment of a definitive pedotrasnfer function for Prem estimation, results indicated the inclusion of Prem and pH NaF measurements among the soil testing evaluations as promising ind order to provide a greater database for the development of an ANN-based pedotransfer function for accurate Prem estimates from pH NaF, SB, and Al3+ values.
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Matula, S., and K. Špongrová. "Pedotransfer function application for estimation of soil hydrophysical properties using parametric methods." Plant, Soil and Environment 53, No. 4 (January 7, 2008): 149–57. http://dx.doi.org/10.17221/2308-pse.
Full textAbstract:
Soil hydraulic properties are needed as input data to describe and simulate the transport of water and solutes in the soil profile. The most important characteristics are the soil moisture retention curve (SMRC) θ(<i>h</i>) and the hydraulic conductivity function <i>k</i>(θ) or <i>k</i>(<i>h</i>), where θ is the soil moisture content, <i>h</i> is the pressure head and <i>k</i> is the hydraulic conductivity. SMRC represents the amount of water remaining in the soil under equilibrium conditions and is unique for each soil. The measurement of SMRC is laborious and time-consuming and so there are not enough data available sometimes. Various SMRC estimation models have been proposed and used extensively to overcome this problem. Other more easily available soil properties, such as particle size distribution, organic matter content, soil structure and bulk density, were used for the estimation of SMRC. Bouma and van Lanen (1987) called these models “transfer functions”, and later on they were called “pedotransfer functions”. This study is based on European works by Wösten et al. (1998, 1999), and others. The pedotransfer functions derived by Wösten et al. (1998) were used in the first part of the study. In the second part, the authors derived their own pedotransfer functions for the sites where all necessary data were available. The methodology of data processing was similar to that used by Wösten et al. (1998) for continuous pedotransfer functions. The use of continuous pedotransfer functions was tested on data sets from several sites in the Czech Republic (Cerhovice, Černičí, Brozany, Ovesná Lhota, Tupadly, Džbánov, Podlesí and Žichlínek). Unfortunately, the available Czech data sets are not as large as the data sets used in Wösten’s work. Quite good new estimates of SMRC (expressed as pF curves) were found e.g. for the Cerhovice and Černičí sites; the estimates for a man-made soil profile in Brozany and for natural soils in Ovesná Lhota, Tupadly, Džbánov, Podlesí and Žichlínek were less successful, partly because of insufficient input data. The applications of continuous pedotransfer functions derived by Wösten et al. (1998) for the Czech data sets were not very successful, either. The quality and size of the input data sets are critical factors for a successful use of pedotransfer functions.
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Vlček, Vítězslav, and Vítězslav Hybler. "Verification of Appropriateness of Selected Pedotransfer Functions for the Basic Use in Agriculture of the Czech Republic." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 63, no. 5 (2015): 1625–30. http://dx.doi.org/10.11118/actaun201563051625.
Full textAbstract:
Soil is a huge reservoir of water used by plants in periods without precipitation and significantly affects the hydrological balance of any territory. To evaluate the hydrological balance of any piece of the land given, it is therefore necessary to carry out the analysis of the hydro-physical conditions. To speed up and simplify the determination of basic hydro-physical properties of soil man developed and began to use the so-called pedotransfer functions (PTF). Comparison of domestic and foreign works, however, faces problems such as the definition of available water supplies in different countries. In the research project “Specification of the available supplies of nitrogen and water in the soil profile and determining the effective depth of crops’ roots” we have dealt with the selection of suitable pedotransfer functions necessary for basic agricultural production with the requirement of minimal amount of input data. For our research we chose several PTFs developed and used in the Czech Republic for a long time, with a minimum of input data, and several new PTFs from foreign authors with greater correlation, but also a greater need of input data, and we compared each other. The best correlation between values and the pedotransfer function for the field water capacity and for the wilting point seems to be the PTF according to Tomasella and PTF according to Batjes. Pedotransfer function according to Váša, in terms of volume of input data, appears better.
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Cooper, Elizabeth, Eleanor Blyth, Hollie Cooper, Rich Ellis, Ewan Pinnington, and Simon J. Dadson. "Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations." Hydrology and Earth System Sciences 25, no. 5 (May 10, 2021): 2445–58. http://dx.doi.org/10.5194/hess-25-2445-2021.
Full textAbstract:
Abstract. Soil moisture predictions from land surface models are important in hydrological, ecological, and meteorological applications. In recent years, the availability of wide-area soil moisture measurements has increased, but few studies have combined model-based soil moisture predictions with in situ observations beyond the point scale. Here we show that we can markedly improve soil moisture estimates from the Joint UK Land Environment Simulator (JULES) land surface model using field-scale observations and data assimilation techniques. Rather than directly updating soil moisture estimates towards observed values, we optimize constants in the underlying pedotransfer functions, which relate soil texture to JULES soil physics parameters. In this way, we generate a single set of newly calibrated pedotransfer functions based on observations from a number of UK sites with different soil textures. We demonstrate that calibrating a pedotransfer function in this way improves the soil moisture predictions of a land surface model at 16 UK sites, leading to the potential for better flood, drought, and climate projections.
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da Silva, Alessandra Calegari, Robson André Armindo, Alexsandro dos Santos Brito, and Marcel G. Schaap. "SPLINTEX: A physically-based pedotransfer function for modeling soil hydraulic functions." Soil and Tillage Research 174 (December 2017): 261–72. http://dx.doi.org/10.1016/j.still.2017.07.011.
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Caviglione, João H. "Pedotransfer functions of soil water properties to estimate the S-index." Revista Brasileira de Engenharia Agrícola e Ambiental 22, no. 7 (July 2018): 465–70. http://dx.doi.org/10.1590/1807-1929/agriambi.v22n7p465-470.
Full textAbstract:
ABSTRACT One big challenge for soil science is to translate existing data into data that is needed. Pedotransfer functions have been proposed for this purpose and they can be point or parametric when estimating the water retention characteristics. Many indicators of soil physical quality have been proposed, including the S-Index proposed by Dexter. The objective of this study was to assess the use of pedotransfer functions for soil water retention to estimate the S-index under field conditions in the diversity of soils of the Paraná state. Soil samples were collected from 36 sites with textures ranging from sandy to heavy clay in the layers of 0-0.10 and 0.10-0.20 m and under two conditions (native forest and cultivated soil). Water content at six matric potentials, bulk density and contents of clay, sand and silt were determined. Soil-water retention curve was fitted by the van Genuchten-Mualem model and the S-index was calculated. S-index was estimated from water retention curves obtained by the pedotransfer function of Tomasella (point and parametric). Although the coefficient of determination varied from 0.759 to 0.895, modeling efficiency was negative and the regression coefficient between observed and predicted data was different from 1 in all comparisons. Under field conditions in the soil diversity of the Paraná state, restrictions were found in S-index estimation using the evaluated pedotransfer functions.
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Sněhota, M., M. Dubovec, M. Dohnal, and M. Císlerová. "Retention curves of soil from the liz experimental catchment obtained by three methods." Soil and Water Research 4, Special Issue 2 (March 19, 2010): S6—S13. http://dx.doi.org/10.17221/482-swr.
Full textAbstract:
The retention curves were measured in the soil from the Liz experimental catchment (Šumava). The sand table and pressure extractor methods were used to obtain a 13-point retention curve for undisturbed soil samples taken from 6 depths. The data points of the individual retention curves were fitted in with the analytical expression of and the reference retention curves were calculated for each depth by scaling. For the same soil, the retention curves were estimated by the artificial neural network method by and the use of the empirical Pedotransfer function. The numerical experiment, which represented the infiltration and redistribution processes, was conducted using of all three sets of retention curves. Simulated water storages and pressure fields obtained using two sets of estimated parameters produced similar results, however they did not approximate well the modelling results obtained with the use of the measured reference parameter set. Of the two sets of pedotransfer functions (PTFs), which have been tested in this study, the empirical PTF of showed a slightly better agreement with the measured retention curves. The results give a guideline for the application of the retention curves estimation by the pedotransfer function for the soil from the Liz catchment.
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Pinnington, Ewan, Javier Amezcua, Elizabeth Cooper, Simon Dadson, Rich Ellis, Jian Peng, Emma Robinson, Ross Morrison, Simon Osborne, and Tristan Quaife. "Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data." Hydrology and Earth System Sciences 25, no. 3 (March 31, 2021): 1617–41. http://dx.doi.org/10.5194/hess-25-1617-2021.
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Abstract. Pedotransfer functions are used to relate gridded databases of soil texture information to the soil hydraulic and thermal parameters of land surface models. The parameters within these pedotransfer functions are uncertain and calibrated through analyses of point soil samples. How these calibrations relate to the soil parameters at the spatial scale of modern land surface models is unclear because gridded databases of soil texture represent an area average. We present a novel approach for calibrating such pedotransfer functions to improve land surface model soil moisture prediction by using observations from the Soil Moisture Active Passive (SMAP) satellite mission within a data assimilation framework. Unlike traditional calibration procedures, data assimilation always takes into account the relative uncertainties given to both model and observed estimates to find a maximum likelihood estimate. After performing the calibration procedure, we find improved estimates of soil moisture and heat flux for the Joint UK Land Environment Simulator (JULES) land surface model (run at a 1 km resolution) when compared to estimates from a cosmic-ray soil moisture monitoring network (COSMOS-UK) and three flux tower sites. The spatial resolution of the COSMOS probes is much more representative of the 1 km model grid than traditional point-based soil moisture sensors. For 11 cosmic-ray neutron soil moisture probes located across the modelled domain, we find an average 22 % reduction in root mean squared error, a 16 % reduction in unbiased root mean squared error and a 16 % increase in correlation after using data assimilation techniques to retrieve new pedotransfer function parameters.
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Steenhuis, Tammo S., Miroslav Hrnčíř, Dina Poteau, Eva J. Romero Luna, Seifu A. Tilahun, Luis A. Caballero, Christian D. Guzman, et al. "A Saturated Excess Runoff Pedotransfer Function for Vegetated Watersheds." Vadose Zone Journal 12, no. 4 (November 2013): vzj2013.03.0060. http://dx.doi.org/10.2136/vzj2013.03.0060.
Full textDissertations / Theses on the topic "Pedotransfer function"
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Baker, Lee. "Optimisation of pedotransfer function models for soil hydraulic properties using an artificial neural network ensemble method." Thesis, Abertay University, 2005. https://rke.abertay.ac.uk/en/studentTheses/27a7a947-d27a-4cf7-9822-31bb6bae4ff3.
Full textAbstract:
Soil hydraulic properties are very time-consuming and expensive to measure directly. Conversely, routinely collected soil survey parameters (e.g. soil texture, dry bulk density and organic matter content) are relatively cheap and easy to collect. Fortunately, mathematical regression models called Pedotransfer Functions (PTFs) allow the transfer of data we have (soil survey parameters) into the data we need (soil hydraulic properties), and this thesis focusses on the potential and modelling methodologies of Artificial Neural Network (ANN) ensembles as a means by which to construct PTFs. The individual processes of the ensemble modelling procedure are examined herein, and suggestions as to how they may be improved upon, by mathematical, conjectural and empirical means, are discussed. Ultimately, it will show that more accurate, robust and efficient PTFs may be constructed by incorporating these into such models. An ensemble is a collection of individual ANNs, each of which provides an independent solution to the same problem. Thus, the combined strengths of the individual models are augmented, whilst their weaknesses are diminished. For any modelling methodology, a trade-off exists between the bias and variance components of the model error - decreasing the bias results in higher variance, and vice versa. However, for the ensemble method, combining ensemble members results in the reduction or elimination of the variance, whilst leaving the bias unaltered. Thus, the aim of the ensemble modeller is to determine an optimum balance between achieving low bias (regardless o f the consequences to the variance) and conserving data - a trade-off between the amount of data used and the value of that data. It has been empirically demonstrated here that by training ANNs using data selected such that all parts of the dataspace are equally represented, bias in ANN-PTF ensembles may be reduced to negligible levels. In addition, results showed that, using one-third or less the amount of data, the ensemble method yields results that are at least as accurate as single ANN methods.
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Gavlasová, Iva. "Pedotransferové funkce pro odhad vlhkostních retenčních křivek středně těžkých půd jižní Moravy." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-226857.
Full textAbstract:
The most important characteristics of each soil is its hydro-physical properties, which include retention curve. Retention curve expresses the relationship between humidity and pressure head. It is course affected by many factors such as grain size and mineralogical composition, humus content, structure and bulk density of dry soil. This thesis deals with direct and indirect determination of one of the basic hydraulic characteristics of the soil, soil moisture retention curve. For laboratory determination of moisture retention curves were used for sand tank and pressure instruments. Measured body retention curves were optimized RETC program.For indirect determination of retention curves were used Pedotransfer function by Wösten et . al .(1998 ) , derived from the European soils and under HYPRES Šútora and Štekauerová (2000). As in the project Wösten et al . (1998), PTF were processed for arable land in the area. The accuracy of both models PTF was assessed by the correlation coefficient R and standard error RMSE. Simple models PTF provide estimates of retention curves with sufficient accuracy for practical use in the locality.
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Minasny, Budiman. "Efficient Methods for Predicting Soil Hydraulic Properties." Thesis, The University of Sydney, 2000. http://hdl.handle.net/2123/853.
Full textAbstract:
Both empirical and process-simulation models are useful for evaluating the effects of management practices on environmental quality and crop yield. The use of these models is limited, however, because they need many soil property values as input. The first step towards modelling is the collection of input data. Soil properties can be highly variable spatially and temporally, and measuring them is time-consuming and expensive. Efficient methods, which consider the uncertainty and cost of measurements, for estimating soil hydraulic properties form the main thrust of this study. Hydraulic properties are affected by other soil physical, and chemical properties, therefore it is possible to develop empirical relations to predict them. This idea quantified is called a pedotransfer function. Such functions may be global or restricted to a country or region. The different classification of particle-size fractions used in Australia compared with other countries presents a problem for the immediate adoption of exotic pedotransfer functions. A database of Australian soil hydraulic properties has been compiled. Pedotransfer functions for estimating water-retention and saturated hydraulic conductivity from particle size and bulk density for Australian soil are presented. Different approaches for deriving hydraulic transfer functions have been presented and compared. Published pedotransfer functions were also evaluated, generally they provide a satisfactory estimation of water retention and saturated hydraulic conductivity depending on the spatial scale and accuracy of prediction. Several pedotransfer functions were developed in this study to predict water retention and hydraulic conductivity. The pedotransfer functions developed here may predict adequately in large areas but for site-specific applications local calibration is needed. There is much uncertainty in the input data, and consequently the transfer functions can produce varied outputs. Uncertainty analysis is therefore needed. A general approach to quantifying uncertainty is to use Monte Carlo methods. By sampling repeatedly from the assumed probability distributions of the input variables and evaluating the response of the model the statistical distribution of the outputs can be estimated. A modified Latin hypercube method is presented for sampling joint multivariate probability distributions. This method is applied to quantify the uncertainties in pedotransfer functions of soil hydraulic properties. Hydraulic properties predicted using pedotransfer functions developed in this study are also used in a field soil-water model to analyze the uncertainties in the prediction of dynamic soil-water regimes. The use of the disc permeameter in the field conventionally requires the placement of a layer of sand in order to provide good contact between the soil surface and disc supply membrane. The effect of sand on water infiltration into the soil and on the estimate of sorptivity was investigated. A numerical study and a field experiment on heavy clay were conducted. Placement of sand significantly increased the cumulative infiltration but showed small differences in the infiltration rate. Estimation of sorptivity based on the Philip's two term algebraic model using different methods was also examined. The field experiment revealed that the error in infiltration measurement was proportional to the cumulative infiltration curve. Infiltration without placement of sand was considerably smaller because of the poor contact between the disc and soil surface. An inverse method for predicting soil hydraulic parameters from disc permeameter data has been developed. A numerical study showed that the inverse method is quite robust in identifying the hydraulic parameters. However application to field data showed that the estimated water retention curve is generally smaller than the one obtained in laboratory measurements. Nevertheless the estimated near-saturated hydraulic conductivity matched the analytical solution quite well. Th author believes that the inverse method can give a reasonable estimate of soil hydraulic parameters. Some experimental and theoretical problems were identified and discussed. A formal analysis was carried out to evaluate the efficiency of the different methods in predicting water retention and hydraulic conductivity. The analysis identified the contribution of individual source of measurement errors to the overall uncertainty. For single measurements, the inverse disc-permeameter analysis is economically more efficient than using pedotransfer functions or measuring hydraulic properties in the laboratory. However, given the large amount of spatial variation of soil hydraulic properties it is perhaps not surprising that lots of cheap and imprecise measurements, e.g. by hand texturing, are more efficient than a few expensive precise ones.
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Minasny, Budiman. "Efficient Methods for Predicting Soil Hydraulic Properties." University of Sydney. Land, Water & Crop Sciences, 2000. http://hdl.handle.net/2123/853.
Full textAbstract:
Both empirical and process-simulation models are useful for evaluating the effects of management practices on environmental quality and crop yield. The use of these models is limited, however, because they need many soil property values as input. The first step towards modelling is the collection of input data. Soil properties can be highly variable spatially and temporally, and measuring them is time-consuming and expensive. Efficient methods, which consider the uncertainty and cost of measurements, for estimating soil hydraulic properties form the main thrust of this study. Hydraulic properties are affected by other soil physical, and chemical properties, therefore it is possible to develop empirical relations to predict them. This idea quantified is called a pedotransfer function. Such functions may be global or restricted to a country or region. The different classification of particle-size fractions used in Australia compared with other countries presents a problem for the immediate adoption of exotic pedotransfer functions. A database of Australian soil hydraulic properties has been compiled. Pedotransfer functions for estimating water-retention and saturated hydraulic conductivity from particle size and bulk density for Australian soil are presented. Different approaches for deriving hydraulic transfer functions have been presented and compared. Published pedotransfer functions were also evaluated, generally they provide a satisfactory estimation of water retention and saturated hydraulic conductivity depending on the spatial scale and accuracy of prediction. Several pedotransfer functions were developed in this study to predict water retention and hydraulic conductivity. The pedotransfer functions developed here may predict adequately in large areas but for site-specific applications local calibration is needed. There is much uncertainty in the input data, and consequently the transfer functions can produce varied outputs. Uncertainty analysis is therefore needed. A general approach to quantifying uncertainty is to use Monte Carlo methods. By sampling repeatedly from the assumed probability distributions of the input variables and evaluating the response of the model the statistical distribution of the outputs can be estimated. A modified Latin hypercube method is presented for sampling joint multivariate probability distributions. This method is applied to quantify the uncertainties in pedotransfer functions of soil hydraulic properties. Hydraulic properties predicted using pedotransfer functions developed in this study are also used in a field soil-water model to analyze the uncertainties in the prediction of dynamic soil-water regimes. The use of the disc permeameter in the field conventionally requires the placement of a layer of sand in order to provide good contact between the soil surface and disc supply membrane. The effect of sand on water infiltration into the soil and on the estimate of sorptivity was investigated. A numerical study and a field experiment on heavy clay were conducted. Placement of sand significantly increased the cumulative infiltration but showed small differences in the infiltration rate. Estimation of sorptivity based on the Philip's two term algebraic model using different methods was also examined. The field experiment revealed that the error in infiltration measurement was proportional to the cumulative infiltration curve. Infiltration without placement of sand was considerably smaller because of the poor contact between the disc and soil surface. An inverse method for predicting soil hydraulic parameters from disc permeameter data has been developed. A numerical study showed that the inverse method is quite robust in identifying the hydraulic parameters. However application to field data showed that the estimated water retention curve is generally smaller than the one obtained in laboratory measurements. Nevertheless the estimated near-saturated hydraulic conductivity matched the analytical solution quite well. Th author believes that the inverse method can give a reasonable estimate of soil hydraulic parameters. Some experimental and theoretical problems were identified and discussed. A formal analysis was carried out to evaluate the efficiency of the different methods in predicting water retention and hydraulic conductivity. The analysis identified the contribution of individual source of measurement errors to the overall uncertainty. For single measurements, the inverse disc-permeameter analysis is economically more efficient than using pedotransfer functions or measuring hydraulic properties in the laboratory. However, given the large amount of spatial variation of soil hydraulic properties it is perhaps not surprising that lots of cheap and imprecise measurements, e.g. by hand texturing, are more efficient than a few expensive precise ones.
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Stoklásková, Adéla. "Stanovení hydraulických charakteristik půdy ve vybrané lokalitě." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2012. http://www.nusl.cz/ntk/nusl-225573.
Full textAbstract:
This thesis deals with direct and indirect determination of soil hydraulic characteristics (retention curve and hydraulic conductivity) in the locality of Bohaté Málkovice. For laboratory determination of soil moisture retention curve is used sand tank and pressure relief device. For the indirect determination of soil hydraulic characteristics is used computer software Rosetta, which includes 5 models of pedotransfer functions. For estimatiton of retention curves are applied previously derived pedotransfer function (continuous parametric PTF and point PTF).
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Nasri, Behzad. "Évaluation des fonctions de pédotransfert d’un sol hétérogène, milieu récepteur d’eau usée traitée, sur un site pilote dédié." Thesis, Paris Est, 2013. http://www.theses.fr/2013PEST1180/document.
Full textAbstract:
Cette thèse a été effectuée dans le cadre du projet ANCRES. Son rôle est d'assurer la compréhension physique du milieu récepteur, le sol, alors qu'une autre équipe étudie l'impact physico-chimique des eaux usées traitées sur le sol. Pour cela, il faut connaître ses propriétés texturales et structurales contrôlant ses fonctions d'épuration et d'évacuation. La problématique est donc de comprendre le processus de l'infiltration imposée par un dispositif d'ANC dans un sol caillouteux. D'abord, suite au positionnement du site pilote d'ANC au pied d'un versant au cœur du plateau portlandien dans le département de l'Yonne en France, on a identifié là un type de sol hétérogène et complexe, caillouteux, une colluvion qui n'était pas cartographiée sur la carte géologique BRGM de cette région et sur laquelle on focalise la thèse. Ensuite, dans le sol complexe du site pilote, on a d'abord mesuré la conductivité hydraulique du sol par l'appareil Guelph sur 15 m² de la fouille de l'ANC à une profondeur de 120 cm : au total, on a fait 15 essais d'infiltration. De plus, on a récupéré 15 échantillons du sol accompagnant ses essais de Guelph pour la caractérisation physique au laboratoire. On a mesuré la texture, l'humidité résiduelle (HR), la teneur en cailloux (Rw) et la matière organique (MO) des échantillons au laboratoire. Ensuite, pour l'étude du processus d'infiltration, on a instrumenté ce site par un dispositif de surveillance hydrique (tensiométrie, teneur en eau, piézométrie) et de prélèvement d'eau interstitielle du sol. De plus, la masse volumique (densité) apparente d'un sol hétérogène a été déterminée. Parmi les paramètres mesurés, certains sont choisis comme indicateurs pour caractériser un sol comme milieu récepteur potentiel des eaux usées traitées en ANC. Puis, en utilisant la MO et la texture des échantillons, on a estimé la masse volumique apparente de la matrice du sol du site piloteau moyen de fonctions de pédotransfert appelées BD-FPTs et on a testé la relation entre la conductivité hydraulique à saturation Ks et la texture de ce sol complexe. Pour cela, une méthodologie en quatre phases a été développée pour évaluer la capacité prédictive des fonctions Ks-FPTs. Cette méthodologie de sélection n'a pas été trouvée dans la littérature mais est élaborée pour les besoins de la thèse. On a déduit les meilleures Ks-FPTs pour ce type de sol. Enfin, avec les données d'humidité volumique et du potentiel matriciel du sol, acquises par une centrale d'acquisition des données, le régime hydrodynamique du sol sous le massif filtrant de l'ANC a été étudié et on a mis en évidence l'écoulement préférentiel dans un sol caillouteux. Les résultats ont montré que dans la colluvion, bien que la matrice du sol soit fine, la conductivité hydraulique mesurée est plus élevée qu'attendu. Cela démontre que la fraction des cailloux dans le sol joue un rôle essentiel en accélérant l'évacuation des eaux usées traitées et aussi l'eau pluviale vers les couches sous-jacentes, et finalement vers la nappe. Cette propriété serait un point fort pour la fonction de transfert du sol et on peut en déduire une méthode pour améliorer la capacité de transfert de l'eau des sols lourds dans les projets d'aménagement urbain ou périurbain : l'ajout de graviers et graves calcaires par mélange au sol en place. On conclut que cette expérimentation, unique en son genre, a été utile pour évaluer la fonction de rétention / transfert de l'eau dans le sol recevant les eaux usées traitées. On a identifié les paramètres prédicteurs pertinents et les relations empiriques qui permettent de faire l'économie de nombreux essais in situ d'eauThe soil is an essential compartment in hydrologic cycle of water in the nature. Therefore, it is clear that taking into account the properties and organization of the soil is essential to the understanding and management of flows involved in the development of the quality of groundwater and surface water. The on-site sanitation (ANC) is a management method of domestic wastewater, by which the water is sent into the soil after settling and filtration liquefaction / aerobic degradation. The second step was often provided by the top soil in place himself, and this continues to this day on many plots of on-site sanitation.This thesis was carried out under ANCRES project. Its role was to ensure the physical understanding of the receptor medium, soil, while another research team was investigating the physico-chemical impact of treated wastewater on the sol. To ensure it, we have to understand its textural and structural properties controlling its purifying power and hydrodynamic processes. So, the problematic is to understand the process of infiltration imposed by an ANC in a heterogeneous stony soil. At first, due to the positioning of the pilot ANC site, at the foot of a slope in the Yonne department in France, a type of complex and heterogeneous soil, a colluvion, was identified. This soil has not been mapped on the BRGM (Bureau de recherches géologiques et minières) geological map of the area. So, the thesis was focalised on this soil. Then, in this soil complex at a depth of the 120 cm of the excavation of the ANC, the soil hydraulic conductivity was first measured by a Guelph apparatus on 15 m². We totally made 15 infiltration tests. Furthermore, we have collected 15 soil samples with each Guelph test for physics laboratory physical characterization. Then, in order to study the soil functions, this site was instrumented by the water monitoring devices (tensiometers, water content probes, and piezometer) and the interstitial water sampling device from the soil. In addition, the bulk of this heterogeneous soil was determined. Among the measured parameters, a series of indicators chosen to characterize the soil as a potential receptor medium of treated wastewater of the ANC. Then, the bulk density of the soil matrix using pedotransfer functions called BD-FPTs was estimated and the relationship between saturated hydraulic conductivity Ks and the texture of the soil complex (by Ks-FPT function) was tested. For this aim, a four-phase methodology was developed to assess the predictive ability of Ks- FPTs functions. This methodology in four phases is not found in the literature but was prepared for the purposes of the thesis. We concluded the best Ks- FPTS for this type of soil. Finally, with the volumetric water content and soil matrix potential data acquired by a the data loggers, the hydrodynamic regime of the soil under the sand pack of the ANC has been studied and demonstrated the preferential flow in a stony soil was demonstrated. The results showed that in the colluvion, although the soil matrix is fine, the measured hydraulic conductivity is higher than expected. This shows that the stone fraction in the soil plays an important role in accelerating the evacuation of treated wastewater and also rainwater to the underlying layers, and finally to the water table. This property would be a strong point for the transfer function of the soil and we can deduce a method to improve the transfer function of heavy soils in urban or peri-urban development projects. This could be possible by adding the gravel and -limestone to soil matrix and mixing them. It has been concluded that this experiment, unique in its kind, has been useful in evaluating the function of retention / transfer of water in the soil receiving treated wastewater. In addition, the relevant predictor parameters and empirical relationships that make the economy of many water tests were identified
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Mulazzani, Rodrigo Pivoto. "Desenvolvimento de pedotransferência física-empírica para Modelagem da retenção de água no solo." Universidade Federal de Santa Maria, 2016. http://repositorio.ufsm.br/handle/1/5633.
Full textAbstract:
Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorSoil water retention stems from the action of attractive forces manifested by adsorption and capillary phenomena. Matric potential (ψ) expresses the soil water retention energy, which varies according to water content and is described by soil water retention curve (SWRC). The experimental obtainment of SWRC is difficult and costly, therefore, the use of pedotransfer functions (PTF) is preferred, because PTF estimate SWRC (or part of it) from other soil properties related to water retention. The use of available PTFs is limited for being calibrated from a particular set of soils and/or for not being able to represent the effect of structural changes (e. g. bulk density (Bd)) on water retention. Thus, the aim of this study is to propose and evaluate a mathematical model to estimate the volumetric moisture based on the specific surface area (SSA) and on the integration of the effect of the Bd with a physicoempirical parameter (fa). SWRCs were obtained experimentally from soils with different particle size and Bd variations were simulated by samples prepared in metal cylinders. The SSA was estimated by particle size distribution curve. Dependence of fa on ψ, SSA and Bd was described by Van Genuchten (1980) sigmoidal model, while the effect of SSA and Bd was incorporated in parameters of this same sigmoidal model by graphical and sensibility analysis. The estimates of the model were compared with the literature FPTs estimates for the same data set. Initially, the results showed that samples prepared in the laboratory did not ensure consistent experimental data of SWRC. This finding masked the model predictive ability. However, it is clear that the proposed FPT coherently described the effect of SSA and Bd with adsorption and capillarity phenomena, complying with the study purpose. In addition, the physicoempirical consistency of SSA and Bd with parameters of the Van Genuchten (1980) sigmoidal model allowed a better predictive performance compared to literature PTFs. In a broader sense, results reinforce the idea that models which mechanistically explore the relationship between predicted and predictor variables are more efficient in estimating the magnitude of the natural soil processes. and Bd was incorporated in parameters of this same sigmoidal model by graphical and sensibility analysis. The estimates of the model were compared with the literature FPTs estimates for the same data set. Initially, the results showed that samples prepared in the laboratory did not ensure consistent experimental data of SWRC. This finding masked the model predictive ability. However, it is clear that the proposed FPT coherently described the effect of SSA and Bd with adsorption and capillarity phenomena, complying with the study purpose. In addition, the physicoempirical consistency of SSA and Bd with parameters of the Van Genuchten (1980) sigmoidal model allowed a better predictive performance compared to literature PTFs. In a broader sense, results reinforce the idea that models which mechanistically explore the relationship between predicted and predictor variables are more efficient in estimating the magnitude of the natural soil processes.
A retenção de água no solo decorre da atuação de forças atrativas que se manifesta por meio dos fenômenos de adsorção e capilaridade. O potencial matricial (ψ) expressa a energia com que a água está retida no solo, que varia com a umidade volumétrica (Uv) e é descrita pela curva de retenção de água no solo (CRAS). A obtenção experimental da CRAS é difícil e onerosa, o que motiva o uso de funções de pedotransferência (FPT), que estimam a CRAS (ou parte dela) a partir de propriedades do solo ligadas à retenção de água. As FPTs disponíveis são limitadas quanto à aplicação para solos diferentes dos quais foram calibradas ou por não conseguirem representar o efeito de mudanças estruturais (variação na densidade do solo (Ds)) sobre a retenção de água. Portanto, o objetivo deste estudo é propor e avaliar um modelo matemático para estimar a umidade volumétrica, baseado na área superficial específica (ASE) e na integração do efeito da Ds a partir de um parâmetro físico-empírico (fa). Experimentalmente, CRAS foram obtidas a partir de solos com diferente granulometria, para os quais variações de Ds foram simuladas por meio da confecção de amostras em cilindros metálicos. A ASE foi estimada por meio da curva granulométrica. A dependência de fa em relação às variáveis ψ, ASE e Ds, foi descrita pelo modelo sigmoidal de Van Genuchten (1980), enquanto o efeito da ASE e Ds foi incorporado aos parâmetros desse modelo sigmoidal por meio de análise gráfica e de sensibilidade. As estimativas do modelo proposto foram comparadas com estimativas de FPTs da literatura para o mesmo conjunto de dados. Inicialmente, verificou-se que, mesmo utilizando amostras confeccionadas em laboratório, a obtenção experimental da CRAS demonstrou-se, por vezes, inconsistente, o que mascarou a capacidade preditiva do modelo. Contudo, é possível afirmar que a FPT proposta foi capaz de descrever o efeito da ASE e da Ds de forma fisicamente coerente com os fenômenos de adsorção e capilaridade, cumprindo com a proposta deste estudo. Além disso, a consistência física-empírica entre ASE e Ds e os parâmetros de ajuste do modelo sigmoidal de Van Genuchten (1980) permitiram melhor desempenho preditivo comparado às FPTs da literatura. De forma mais ampla, os resultados reforçam a ideia de que modelos que explorem mecanisticamente a relação entre variáveis preditas e preditoras são mais eficientes na estimativa da magnitude dos processos naturais ligados ao solo.
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Zhang, Yonggen, Marcel G. Schaap, Alberto Guadagnini, and Shlomo P. Neuman. "Inverse modeling of unsaturated flow using clusters of soil texture and pedotransfer functions." AMER GEOPHYSICAL UNION, 2016. http://hdl.handle.net/10150/622504.
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Characterization of heterogeneous soil hydraulic parameters of deep vadose zones is often difficult and expensive, making it necessary to rely on other sources of information. Pedotransfer functions (PTFs) based on soil texture data constitute a simple alternative to inverse hydraulic parameter estimation, but their accuracy is often modest. Inverse modeling entails a compromise between detailed description of subsurface heterogeneity and the need to restrict the number of parameters. We propose two methods of parameterizing vadose zone hydraulic properties using a combination of k-means clustering of kriged soil texture data, PTFs, and model inversion. One approach entails homogeneous and the other heterogeneous clusters. Clusters may include subdomains of the computational grid that need not be contiguous in space. The first approach homogenizes within-cluster variability into initial hydraulic parameter estimates that are subsequently optimized by inversion. The second approach maintains heterogeneity through multiplication of each spatially varying initial hydraulic parameter by a scale factor, estimated a posteriori through inversion. This allows preserving heterogeneity without introducing a large number of adjustable parameters. We use each approach to simulate a 95 day infiltration experiment in unsaturated layered sediments at a semiarid site near Phoenix, Arizona, over an area of 50 x 50 m(2) down to a depth of 14.5 m. Results show that both clustering approaches improve simulated moisture contents considerably in comparison to those based solely on PTF estimates. Our calibrated models are validated against data from a subsequent 295 day infiltration experiment at the site.
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Cidin, Ana Carolina Martins. "Estoque de carbono em solos brasileiros e potencial de contribuição para mitigação de emissões de gases de efeito estufa." Universidade Federal de São Carlos, 2016. https://repositorio.ufscar.br/handle/ufscar/8586.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
In recent years, Brazil has proposed policies to reduce emissions of greenhouse gases (GEE). In this context, the aim of this study was to estimate the carbon stock (EC) from different Brazilian soils under different agricultural uses and propose strategies that contribute to mitigation of GEE emissions. The research was conducted in four stages: i) organization of a soil database; ii) development of a pedotransfer function (PTF) for the estimation of bulk density (DS) and evaluate the effect on estimate of EC; iii) estimation of the EC; and iv) evaluation of potential EC by Brazilian agriculture. Data from 38.456 soil samples were performed and, after standardization, they formed a database with 10.445 data samples corresponding to 5.823 data for the 0-30 cm layer. These data covered all Brazilian states, all classes of the Brazilian System of Soil Classification and nine types of land use: annual crop in no-tillage system (SPD), annual crop in conventional tillage system, perennial crop, planted forest, integrated crop-livestock (ILP) system, integrated crop-livestock-forest (ILPF) system, pasture, uncovered soil and native vegetation. Many samples had no DS record, then 12 PTF for DS estimation were developed using 974 soil samples. The performance of PTFs was assessed by R2, and in the validation, the accuracy of prediction was measured based on the mean error (ME), the mean absolute error (MAE), and the root mean squared error (RMSE). All functions overestimated DS values and one of them (PTF 5) presented the best performance. The evaluation of the estimated EC was made with 926 samples layer 0-30 cm, using observed data DS (ECobs), estimated data DS from the PTF5 (ECest) and estimated data DS from the null model (ECnull), in which the DS was given by the mean value of DS observed. Based on the calculation of ME, MAE, the RMSE and comparison with ECobs values, it was found that the ECnull values were overestimated and dispersed. It was concluded at this stage that the null model was not a reliable alternative and PTF5 was applied in 4.540 samples from 0-30 cm layer with missing DS. The estimated DS values ranged from 0,10 kg dm-3 at 1,92 kg dm-3 with a mean of 1,39 kg dm-3 and standard deviation of 0,19 kg dm-3. The coefficient of variation was less than 15% configuring a homogeneous data. It was made the EC calculation for 5.823 EC data for the layer 0-30 cm and these values were grouped by types of land use and soil types. In grouping by type of land use, the lowest EC values were observed in annual crop and native vegetation (0,10 Mg ha-1) and the largest maximum values were observed in annual crop, pasture and native vegetation, with 297,3 Mg ha-1, 259,9 Mg ha-1 and 253,6 Mg ha-1 respectively. In grouping by type of soil, it was observed that a minimum value of 0,10 Mg ha-1 in an Argisol while maxima were observed in a Cambisol (297,3 Mg ha-1) and an Argisol (265,8 Mg ha-1). Three scenarios were developed to estimate the potential increase of EC, from changes in management practices and land use. In a scenario where 18% of the areas of annual crops adopt SPD, the increase in EC was 73,6 Gg. If 15 million hectares of degraded pastures were recovered with ILP system in 20% of the area, and ILPF system in 10% of the area, the potential for increasing the EC would be 88.13 Gg. These values could represent an addition of 59,6 Gg of CO2, which could offset the 472,1 Gg CO2 emitted by the Brazilian agricultural sector in 2010, according to estimates by the Ministry of Science, Technology and Innovation. It concludes that: i) the absence of DS data, using a simple PTF is more appropriate than the use of the null model; ii) the detected errors in the estimation of DS by PTF not propagate the EC calculation; iii) the proposed changes would offset emissions from the Brazilian agricultural sector; and iv) the estimates presented highlight the role of the agricultural sector in mitigating GEE emissions.
Nos últimos anos, o Brasil tem proposto políticas para diminuir as emissões de gases de efeito estufa (GEE). Nesse contexto, o objetivo geral deste trabalho foi estimar o estoque de carbono (EC) de diferentes solos brasileiros com diferentes usos agrícolas e propor estratégias que contribuam para mitigação das emissões de GEE. A pesquisa foi desenvolvida em quatro etapas: i) organização de um banco de dados de solos; ii) desenvolvimento de função de pedotransferência (PTF) para a estimativa de densidade do solo (DS) e avaliação do efeito na estimativa de EC; iii) estimativa do EC; e iv) potencial de EC pela agricultura brasileira. Foram levantados dados de 38.456 amostras de solos que, após padronização, constituíram um banco com dados de 10.445 amostras, que corresponderam a 5.823 dados para a camada 0-30 cm. Esses dados recobriram todos os estados brasileiros, todas as classes do Sistema Brasileiro de Classificação de Solos e nove tipos de uso do solo: cultura anual em sistema de plantio direto (SPD), cultura anual sem SPD, cultura perene, floresta plantada, integração lavoura-pecuária (ILP), integração lavoura-pecuária-floresta (ILPF), pastagem, solo descoberto e vegetação nativa. Como muitas amostras não apresentavam registro de DS, 12 PTF foram desenvolvidas em um subconjunto de 974 amostras do banco de dados, sendo 664 amostras utilizadas para o desenvolvimento das PTFs e 310 utilizadas para teste. O desempenho de cada PTF foi avaliado através do R2, e na validação, a acurácia da predição foi medida pela comparação dos valores estimados com os observados, com base no cálculo de erro médio (ME), do erro absoluto médio (MAE) e da raiz quadrada do erro quadrático médio (RMSE). Todas as PTFs testadas superestimaram os valores de DS, porém, a PTF5 apresentou o melhor desempenho. A avaliação da estimativa de EC foi feita com 926 amostras da camada 0-30 cm, usando-se dados de DS observados (ECobs), dados de DS estimados a partir da PTF5 (ECest) e dados de DS estimados a partir do modelo nulo (ECnulo), no qual a DS é dada pelo valor médio das DS observadas. Com base no cálculo do ME, da MAE, da RMSE e da comparação com os valores de ECobs, constatou-se que os valores de ECnulo foram superestimados e dispersos. Concluiu-se nesta etapa que o modelo nulo não era uma alternativa confiável e a PTF5 foi aplicada em 4.540 amostras de camada 0- 30 cm com DS faltante. Os valores de DS estimados variaram de 0,10 kg dm-3 a 1,92 kg dm-3, com média de 1,39 kg dm-3 e desvio padrão de 0,19 kg dm-3. O coeficiente de variação foi menor que 15%, configurando dados homogêneos. Foi feito o cálculo de EC para 5.823 dados de EC referentes à camada 0-30 cm e esses valores foram agrupados por tipos de uso do solo e por classes de solo. No agrupamento por tipos de uso do solo, os menores valores de EC foram observados em cultura anual e vegetação nativa (0,10 Mg ha-1) e o maiores valores máximos foram observados em cultura anual, pastagem e vegetação nativa, com 297,3 Mg ha- 1, 259,9 Mg ha-1 e 253,6 Mg ha-1 respectivamente. No agrupamento por tipos de solo, observou-se que um valor mínimo de 0,10 Mg ha-1 em um Argissolo enquanto que valores máximos foram observados em um Cambissolo (297,3 Mg ha-1) e em um Argissolo (265,8 Mg ha-1). Foram elaborados três cenários para estimar o potencial de aumento de EC, a partir de mudanças nas práticas de manejo e de uso do solo. Em um cenário de adoção de SPD em 18 % das áreas de culturas anuais, o aumento do EC seria de 73,6 Gg. Se 15 milhões de hectares de pastagens degradadas forem recuperados com ILP, em 20% da área, e com ILPF, em 10% da área, o potencial de aumento do EC seria de 88,13 Gg. Esses valores somados representariam 593,6 Gg de CO2, que poderiam compensar os 472,1 Gg de CO2 emitidos pelo setor agropecuário brasileiro em 2010, conforme estimativas do Ministério da Ciência, Tecnologia e Inovação. Conclui-se que: i) na ausência de dados de DS, o uso de uma PTF simples é mais indicado do que o uso do modelo nulo; ii) os erros detectados na estimativa de DS por meio de PTF não se propagam no cálculo de EC; iii) as mudanças propostas compensariam emissões do setor agrícola brasileiro; e iv) as estimativas apresentadas ressaltam o papel do setor agropecuário na mitigação das emissões de GEE.
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Fang, Zhufeng. "USING GEOSTATISTICS, PEDOTRANSFER FUNCTIONS TO GENERATE 3D SOIL AND HYDRAULIC PROPERTY DISTRIBUTIONS FOR DEEP VADOSE ZONE FLOW SIMULATIONS." Thesis, The University of Arizona, 2009. http://hdl.handle.net/10150/193439.
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We use geostatistical and pedotrasnfer functions to estimate the three-dimensional distributions of soil types and hydraulic properties in a relatively large volume of vadose zone underlying the Maricopa Agriculture Center near Phoenix, Arizona. Soil texture and bulk density data from the site are analyzed geostatistically to reveal the underlying stratigraphy as well as finer features of their three-dimensional variability in space. Such fine features are revealed by cokriging soil texture and water content measured prior to large-scale long-term infiltration experiments. Resultant estimates of soil texture and bulk density data across the site are then used as input into a pedotransfer function to produce estimates of soil hydraulic parameter (saturated and residual water content θs and θr, saturated hydraulic conductivity Ks, van Genuchten parameters αand n) distributions across the site in three dimensions. We compare these estimates with laboratory-measured values of these same hydraulic parameters and find the estimated parameters match the measured well for θs, n and Ks but not well for θr nor α, while some measured extreme values are not captured. Finally the estimated soil hydraulic parameters are put into a numerical simulator to test the reliability of the models. Resultant simulated water contents do not agree well with those observed, indicating inverse calibration is required to improve the modeling performance. The results of this research conform to a previous work by Wang et al. at 2003. Also this research covers the gaps of Wang’s work in sense of generating 3-D heterogeneous fields of soil texture and bulk density by cokriging and providing comparisons between estimated and measured soil hydraulic parameters with new field and laboratory measurements of water retentions datasets.
Books on the topic "Pedotransfer function"
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Y, Pachepsky, and Rawls Walter J, eds. Development of pedotransfer functions in soil hydrology. Amsterdam: Elsevier, 2004.
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Pachepsky, Y., and W. J. Rawls. Development of Pedotransfer Functions in Soil Hydrology. Elsevier Science & Technology Books, 2004.
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Development of Pedotransfer Functions in Soil Hydrology, Volume 30 (Developments in Soil Science). Elsevier Science, 2004.
Find full textBook chapters on the topic "Pedotransfer function"
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Pachepsky, Yakov A., and Martinus Th van Genuchten. "Pedotransfer Functions." In Encyclopedia of Agrophysics, 556–61. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-3585-1_109.
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Barros, Alexandre Hugo Cezar, and Quirijn de Jong van Lier. "Pedotransfer Functions for Brazilian Soils." In Application of Soil Physics in Environmental Analyses, 131–62. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06013-2_6.
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Padarian, José, Jason Morris, Budiman Minasny, and Alex B. McBratney. "Pedotransfer Functions and Soil Inference Systems." In Pedometrics, 195–220. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63439-5_7.
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Qu, Zhongyi, Guanhua Guanhua, and Jingyu Yang. "EVALUATION OF REGIONAL PEDOTRANSFER FUNCTIONS BASED ON THE BP NEURAL NETWORKS." In IFIP Advances in Information and Communication Technology, 1189–99. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0211-5_47.
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da Conceição Gonçalves, M. "The Development of Pedotransfer Functions for the Hydraulic Properties of Portuguese Soils." In Soil Responses to Climate Change, 217–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-79218-2_18.
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Ottoni, Marta Vasconcelos, Maria Leonor Ribeiro Casimiro Lopes-Assad, Yakov Pachepsky, and Otto Corrêa Rotunno Filho. "A Hydrophysical Database to Develop Pedotransfer Functions for Brazilian Soils: Challenges and Perspectives." In Application of Soil Physics in Environmental Analyses, 467–94. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06013-2_20.
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Wösten, J. H. M., and S. Tamari. "Application of artificial neural networks for developing pedotransfer functions of soil hydraulic parameters." In Assessment of Non‐Point Source Pollution in the Vadose Zone, 235–41. Washington, D. C.: American Geophysical Union, 1999. http://dx.doi.org/10.1029/gm108p0235.
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Horn, A. L., R. A. Düring, and S. Gäth. "Sorption of Cd in Soils: Pedotransfer Functions for the Parameters of the Freundlich Sorption Isotherm." In Biogeochemical Investigations of Terrestrial, Freshwater, and Wetland Ecosystems across the Globe, 61–71. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-007-0952-2_5.
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Hennings, Volker. "Use of Pedotransfer Functions for Land Evaluation: Mapping Groundwater Recharge Rates Under Semi-Arid Conditions." In Environmental Science and Engineering, 249–62. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01017-5_14.
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Pachepsky, Yakov A., Walter J. Rawls, and Dennis J. Timlin. "The Current status of pedotransfer functions: Their accuracy, reliability, and utility in field- and regional-scale modeling." In Assessment of Non‐Point Source Pollution in the Vadose Zone, 223–34. Washington, D. C.: American Geophysical Union, 1999. http://dx.doi.org/10.1029/gm108p0223.
Full textConference papers on the topic "Pedotransfer function"
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Rasoulzadeh, Ali, and Mahsa Fatemi. "Scaling of cumulative infiltration curves using pedotransfer functions." In 2011 International Conference on New Technology of Agricultural Engineering (ICAE). IEEE, 2011. http://dx.doi.org/10.1109/icae.2011.5943879.
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Ahmed M Abdelbaki, Mohamed A Youssef, Esmail M. F Naguib, Mohamed E Kiwan, and Emad I El-giddawy. "Evaluation of Pedotransfer Functions for Predicting Saturated Hydraulic Conductivity for U.S. Soils." In 2009 Reno, Nevada, June 21 - June 24, 2009. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2009. http://dx.doi.org/10.13031/2013.27309.
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Gomes, Ruan, Guilherme Gomes, and Eurípedes Vargas. "Five pedotransfer functions for the van Genuchten model through Evolutionary Polynomial Regression." In Congresso Brasileiro de Mecânica dos Solos e Engenharia Geotécnica. ABMS, 2020. http://dx.doi.org/10.4322/cobramseg.2022.0647.
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"Using pedotransfer functions to improve the precision of spatially predicted available water capacity." In 23rd International Congress on Modelling and Simulation (MODSIM2019). Modelling and Simulation Society of Australia and New Zealand, 2019. http://dx.doi.org/10.36334/modsim.2019.c1.austin.
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Miller, Julianne J., Todd G. Caldwell, Michael H. Young, and Graham K. Dalldorf. "Verifying Curve Numbers in Arid Environments by Combining Detailed Geomorphic Mapping and Pedotransfer Functions." In World Environmental and Water Resources Congress 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40976(316)342.
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Ahmed Mohamed Abdelbaki and Mohamed A Youssef. "Assessing the Feasibility of DRAINMOD Application Using Soil Hydraulic Properties Estimated by Pedotransfer Functions." In 9th International Drainage Symposium held jointly with CIGR and CSBE/SCGAB Proceedings, 13-16 June 2010, Québec City Convention Centre, Quebec City, Canada. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2010. http://dx.doi.org/10.13031/2013.32145.
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Tombul, Mustafa. "COMBINING PEDOTRANSFER FUNCTIONS AND SCALING FOR DESCRIBING THE SOIL HYDRAULIC CHARACTERISTICS OF THE KURUKAVAK BASIN, TURKEY." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/31/s12.018.
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Qu, Zhongyi, Xianyue Li, Dan Tian, Raghavendra B. Jana, and Binayak P. Monhanty. "Development of regional-scale pedotransfer functions based on Bayesian Neural Networks in the Hetao Irrigation District of China." In 2011 Seventh International Conference on Natural Computation (ICNC). IEEE, 2011. http://dx.doi.org/10.1109/icnc.2011.6022191.
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Henrique Antunes Rodrigues, Luiz, and Marcel Perez Veiga Veloso. "Use of Data Mining Techniques to obtain rules and standards regarding Pedotransfer Functions developed for Soil Water Retention." In XXIII Congresso de Iniciação Científica da Unicamp. Campinas - SP, Brazil: Galoá, 2015. http://dx.doi.org/10.19146/pibic-2015-38128.
Full textReports on the topic "Pedotransfer function"
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Leij, F. J., and M. T. Van Genuchten. Development of Pedotransfer Functions with Neural Network Models. Fort Belvoir, VA: Defense Technical Information Center, June 2001. http://dx.doi.org/10.21236/ada394563.
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